Evidence map›Paper›PMID 36480257›Full record

ArticleJMIR diabetes2022

Implementation Plan for a High-Frequency, Low-Touch Care Model at Specialized Type 1 Diabetes Clinics: Model Development.

Stephanie de Sequeira, Justin Presseau, Gillian L Booth, Lorraine L Lipscombe, Isabelle Perkins, Bruce A Perkins, Rayzel Shulman, Gurpreet Lakhanpal, Noah Ivers

Open access · goldAbstract read
In one paragraph

Article in JMIR diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Stephanie de SequeiraUnity Health Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-1560-6190
Justin PresseauOttawa Hospital Research Institute, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-2132-0703
Gillian L BoothUnity Health Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-2769-6522
Lorraine L LipscombeWomen's College Hospital, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-7412-7993
Isabelle PerkinsOttawa Hospital Research Institute, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-7676-9065
Bruce A PerkinsSinai Health System, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-5885-0046
Rayzel ShulmanThe Hospital for Sick Children, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-9943-1529
Gurpreet LakhanpalUnity Health Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-4228-4382
Noah IversWomen's College Hospital, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-2500-2435
Unity Health TorontoOttawa Hospital · CAWomen's College Hospital · CAHospital for Sick Children · CASinai Health System · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with type 1 diabetes (T1D) are more likely to achieve optimal glycemic management when they have frequent visits with their health care team. There is a potential benefit of frequent, telemedicine interventions as an effective strategy to lower hemoglobin A1c (HbA1c).

objectiveThe objective is this study was to understand the provider- and system-level factors affecting the successful implementation of a virtual care intervention in type 1 diabetes (T1D) clinics.

methodsSemistructured interviews were conducted with managers and certified diabetes educators (CDEs) at diabetes clinics across Southern Ontario before the COVID-19 pandemic. Deductive analysis was carried out using the Theoretical Domains Framework, followed by mapping to behavior change techniques to inform potential implementation strategies for high-frequency virtual care for T1D.

resultsThere was considerable intention to deliver high-frequency virtual care to patients with T1D. Participants believed that this model of care could lead to improved patient outcomes and engagement but would likely increase the workload of CDEs. Some felt there were insufficient resources at their site to enable them to participate in the program. Member checking conducted during the pandemic revealed that clinics and staff had already developed strategies to overcome resource barriers to the adoption of virtual care during the pandemic.

conclusionsExisting enablers for high-frequency virtual care for T1D can be leveraged, and barriers can be overcome with targeted clinical incentives and support.

Indexed as

behavior changeclinicsdiabeteseducationglycemic controlhigh-frequency careimplementation scienceincentivesinterventionself-managementsupporttype 1 diabetesvirtual care

Identifiers

PMID36480257
PMCPMC9782362
OpenAlexW4294073769

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.